<\/span><\/h3>\nTo append a value to each list in a NumPy array, we need to create a new array and iterate over each list to append the desired value. We can achieve this using a combination of NumPy operations and list comprehension.<\/p>\n
Here’s an example that demonstrates the process:<\/p>\n
“`python
\nimport numpy as np<\/p>\n
# Creating a 2D NumPy array
\narr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])<\/p>\n
# Appending value 10 to each list
\nnew_arr = np.array([list(row) + [10] for row in arr])<\/p>\n
print(new_arr)
\n“`<\/p>\n
Output:
\n“`
\n[[ 1 2 3 10]
\n [ 4 5 6 10]
\n [ 7 8 9 10]]
\n“`<\/p>\n
In the above example, we first import the NumPy library and create a 2D NumPy array `arr` with three lists. Then, using list comprehension, we iterate over each row in the array, convert it into a list, and append the value 10 to each list. Finally, we construct a new NumPy array `new_arr` from the modified lists.<\/p>\n
The output shows the updated array `new_arr`, where each list now contains the appended value.<\/p>\n